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Мы ищем ML-инженера , который будет разрабатывать и внедрять модели машинного обучения для задач прогнозирования. Вы присоединитесь к команде, которая строит системы, помогающие бизнесу принимать решения на основе…
Builds and maintains ETL pipelines, data models, and AI services for a gold-mining company’s digital solutions using PostgreSQL, ClickHouse, Airflow, and NiFi.
Designs, builds, and maintains ETL pipelines and data warehouses for a leading Uzbek payment system, using Oracle, SQL, and Airflow.
Build and maintain data pipelines and cloud infrastructure for marketing analytics, using Snowflake, Python, SQL, and cloud platforms (GCP/Azure/AWS) to enable secure data sharing and customer insights.
Build and scale high-volume data pipelines for an industrial IoT platform on AWS, using Spark/Flink, Kinesis, Databricks, and FastAPI to deliver real-time and batch analytics.
Build and maintain scalable data pipelines and GenAI platforms on AWS using Spark, Iceberg, and Bedrock to power analytics, AI, and RAG systems for a fintech-focused company.
Design and build scalable payment data models and cloud-native ELT pipelines for a fintech platform handling cards, ACH, wallets, and cash payments.
Build and optimize event-driven data pipelines on GCP for a client, using Python, Airflow, BigQuery, and DataForm to support a new CRM integration.
Build and own finance data models and pipelines in dbt/SQL to power Zilch’s payment platform, ensuring accurate, scalable financial analytics for reporting and decision-making.
Design and maintain scalable ETL pipelines and data models in Python/SQL to feed analytics and ML systems for a travel-focused ad-tech platform.
Builds and optimizes data pipelines for regulatory reporting in banks using Python, ETL tools, and big-data tech like Spark and Kafka.
Lead a backend team in Brazil to build scalable APIs, workflows, and automation using cloud-native tech, Temporal.io, and AI-driven orchestration for 3M’s Corporate Research Digital Lab.
Build and maintain a scalable, automated data platform on GCP using Terraform, ensuring reliability and performance for AI-driven enterprise solutions.
Build and maintain robust DevOps pipelines and full-stack data-analysis solutions using GCP, Terraform, Tekton, Apache Beam, React/Angular, and FastAPI.
Builds and maintains AWS-based CI/CD pipelines and Terraform infrastructure to deploy and scale data operations for clients.
Build and scale low-latency data pipelines and microservices in Java/K8S to process billions of financial events daily, using Kafka, ClickHouse, and Spark for trade surveillance systems.
Lead a team building scalable, cloud-native software with AI integrations, ensuring clean architecture, observability, and DevSecOps practices using Java/Spring and modern data tools.
Senior Data DevOps Engineer builds and automates CI/CD pipelines for data releases on AWS, using Terraform to provision infrastructure and Kubernetes for reliable deployments.
Build and automate data pipelines, migrate legacy systems to modern platforms, and ensure data accuracy for a fintech lender using SQL, Python, and cloud tools.
Build and optimize data models to power growth decisions for a large Latin American food-delivery platform, using SQL, Python, Airflow, and BI tools.
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